import multiprocessing


def worker_function(item):
    return item * 2


if __name__ == '__main__':
    pool = multiprocessing.Pool(processes=4)
    data = [1, 2, 3, 4, 5]
    results = pool.map(worker_function, data)
    pool.close()
    pool.join()
    print("Results:", results)
